Triple
T10772882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Institut des Hautes Études Scientifiques |
E254123
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
IHÉS
IHÉS is a prestigious French research institute renowned for its fundamental work in mathematics and theoretical physics.
|
E884921
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: IHÉS | Statement: [Institut des Hautes Études Scientifiques, abbreviation, IHÉS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: IHÉS Context triple: [Institut des Hautes Études Scientifiques, abbreviation, IHÉS]
-
A.
IHA
IHA is the commonly used abbreviation for Japan’s Imperial Household Agency, the government body responsible for matters concerning the Imperial Family.
-
B.
HES
HES is the commonly used abbreviation for Historic Environment Scotland, the public body responsible for protecting and promoting Scotland’s historic environment.
-
C.
IHC
IHC is a Christogram, a traditional Christian monogram representing the name of Jesus derived from the first three letters of his name in Greek.
-
D.
IHS
IHS is a U.S. federal agency within the Department of Health and Human Services that provides health services to American Indians and Alaska Natives.
-
E.
HEIA
HEIA is the stock ticker symbol for Heineken N.V., the multinational Dutch brewing company best known for its Heineken beer brand.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: IHÉS Triple: [Institut des Hautes Études Scientifiques, abbreviation, IHÉS]
Generated description
IHÉS is a prestigious French research institute renowned for its fundamental work in mathematics and theoretical physics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: IHÉS Target entity description: IHÉS is a prestigious French research institute renowned for its fundamental work in mathematics and theoretical physics.
-
A.
IHA
IHA is the commonly used abbreviation for Japan’s Imperial Household Agency, the government body responsible for matters concerning the Imperial Family.
-
B.
HES
HES is the commonly used abbreviation for Historic Environment Scotland, the public body responsible for protecting and promoting Scotland’s historic environment.
-
C.
IHC
IHC is a Christogram, a traditional Christian monogram representing the name of Jesus derived from the first three letters of his name in Greek.
-
D.
IHS
IHS is a U.S. federal agency within the Department of Health and Human Services that provides health services to American Indians and Alaska Natives.
-
E.
HEIA
HEIA is the stock ticker symbol for Heineken N.V., the multinational Dutch brewing company best known for its Heineken beer brand.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d6aa5f54f4819082d0bbcb6f8797e6 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d7329b27748190bd0e2569c7972fd1 |
completed | April 9, 2026, 5:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de238559b48190abc759e744ab0f8e |
completed | April 14, 2026, 11:22 a.m. |
| NEDg | Description generation | batch_69de271fb08c8190a44c547083226fd8 |
completed | April 14, 2026, 11:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69de2cecc24c8190a240366e0600426a |
completed | April 14, 2026, 12:02 p.m. |
Created at: April 8, 2026, 9:16 p.m.